Introduction to Data Science Mastery 2025

Embark on a comprehensive journey through the world of Data Science, designed to equip you with the advanced tools and techniques needed to excel in this dynamic field by 2025. This course combines theory with practical examples and real-world projects to turn you into a data science expert, ready to tackle contemporary challenges in any industry.


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Last update: 04/2024
English

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Price USD 1.99

Course Overview

5 sections . 20 lessons .

Foundations of Data Science

Ethics and Data Security 5:22
Setting Up Your Data Science Environment 8:29
Understanding the Big Data Ecosystem 26:47
Roles and Applications of Data Science 7:51

Data Handling and Analysis

Introduction to Pandas for Data Manipulation 1:34:11
Advanced SQL Queries 21:50
Statistical Thinking for Data Science 1:09:30
Building Predictive Models 15:45

Advancing with Machine Learning

Natural Language Processing Essentials 3:02:33
Overview of Machine Learning Algorithms 16:30
Deep Learning and Neural Networks 1:25:39
Reinforcement Learning in Practice 1:38:34

Data Visualization and Real-Time Techniques

Stream Processing Fundamentals 10:17
Effective Data Visualization 25:57
Utilizing Python for Interactive Dashboards 1:08:23
Real-Time Analytics with Kafka 18:33

Capstone Project: Real World Application

Analyzing and Interpreting Data 10:20
Project Planning and Data Collection 45:10
Data Cleaning and Preparation 58:18
Presenting Your Findings 7:32

Instructor

19 published courses

8 courses sold

Instructor ratings

4.00 (3 ratings)
Goal

Course Objectives

Master the core concepts of machine learning and predictive modeling.

Develop proficiency in Python for data science, including libraries like Pandas, NumPy, and Matplotlib.

Understand and apply advanced data visualization techniques to communicate data insights effectively.

Learn to handle big data technologies, with an emphasis on real-time data processing and analysis.

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Prerequisites

point

Basic knowledge of programming in Python.

point

Understanding of fundamental statistics and mathematics.

point

Ability to work with and manage data in various formats.

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